Analysis of The Implementation of Electronic Medical Records Using the Human Organization Technology FIT Model
Keywords:
EMRs, Human, Organization, Technology, Implementation
Abstract
The use of electronic medical records (EMRs) in healthcare has transformed the way patient information is stored and shared among healthcare providers. Because of the importance of electronic medical records, several aspects are needed for the ERM to function well. The human organization and technology factors are some of the necessary elements for the successful implementation of electronic medical records. Human Organization Technology Fit Model is a framework that helps healthcare organizations assess how well their employees, processes, and technology systems work together to achieve their goals. Objective: The purpose of this research is to determine the relationship between human organization and technology in the implementation of electronic medical records in hospitals. This research is a descriptive study using quantitative methods and research uses questionnaires. The research was conducted in several private hospitals, population consists of all EMRs users in outpatient care, which amounts to 132 staff members. This research used non-probability sampling technique. The data analysis will be conducted using Spearman tests with interval data scale, aided by the SPSS. There is a relationship between human and organization (p<0.001) with a strong relationship, as indicated by a r=0.686. There is relatioship between human and organization (p<0.001), It has a strong relationship, as indicated by a r=0.683. Between organization and technology have relationship (p< 0.001) with a very strong correlation r=0.809. The utilization of electronic medical records and human organization technology are related.
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Keywords: EMRs, Human, Organization, Technology, Implementation
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References
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Dyb K, Berntsen GR, Kvam L. Adopt, adapt, or abandon technology-supported person-centred care initiatives: healthcare providers’ beliefs matter. BMC Health Serv Res. 2021;21(1):1–13.
Lambooij MS, Koster F. How organizational escalation prevention potential affects success of implementation of innovations: Electronic medical records in hospitals. Implement Sci [Internet]. 2016;11(1):1–10. Available from: http://dx.doi.org/10.1186/s13012-016-0435-1
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McCrorie C, Benn J, Johnson OA, Scantlebury A. Staff expectations for the implementation of an electronic health record system: A qualitative study using normalisation process theory. BMC Med Inform Decis Mak. 2019;19(1):1–14.
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Tilahun B, Fritz F. Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals Healthcare Information Systems. BMC Med Inform Decis Mak [Internet]. 2015;15(1):1–9. Available from: http://dx.doi.org/10.1186/s12911-015-0192-0
Feibert DC, Jacobsen P. Factors impacting technology adoption in hospital bed logistics. Int J Logist Manag. 2019;30(1):195–230.
Shi Y, Amill-Rosario A, Rudin RS, Fischer SH, Shekelle P, Scanlon D DC. Health information technology for ambulatory care in health systems. Am J Manag Care. 2020;Jan;26(1):
Risling T, Martinez J, Young J T-FN. Defining Empowerment and Supporting Engagement Using Patient Views From the Citizen Health Information Portal: Qualitative Study. JMIR Med Inf. 2018;6(3):e43.
Haleem A, Javaid M, Pratap Singh R, Suman R. Medical 4.0 technologies for healthcare: Features, capabilities, and applications. Internet Things Cyber-Physical Syst [Internet]. 2022;2(February):12–30. Available from: https://doi.org/10.1016/j.iotcps.2022.04.001
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Ross J, Stevenson F, Lau R, Murray E. Factors that influence the implementation of e-health: A systematic review of systematic reviews (an update). Implement Sci [Internet]. 2016;11(1):1–12. Available from: http://dx.doi.org/10.1186/s13012-016-0510-7
Yichuan Wang, LeeAnn Kung TAB. Big data analytics: Understanding Its Capabilities And Potential Benefits For Healthcare Organizations. Technol Forecast Soc Change. 2018;126(ISSN 0040-1625):3–13.
Karanika-Murray, M., Whysall, Z., Liu-Smith, Y.-L., Feltbower, C. and Challans-Rasool E. “Understanding organizational learning in a healthcare organization during sudden and disruptive change.” Int J Work Heal Manag. 2023;16(4):257–80.
Rubbio, I., Bruccoleri, M., Pietrosi, A. and Ragonese B. “Digital health technology enhances resilient behaviour: evidence from the ward.” Int J Oper Prod Manag. 2020;40(1):34–67.
Chioma Anthonia Okolo, Scholastica Ijeh, Jeremiah Olawumi Arowoogun, Adekunle Oyeyemi Adeniyi, Olufunke Omotayo. Reviewing the Impact of Health Information Technology on Healthcare Management Efficiency. Int Med Sci Res J. 2024;4(4):420–40.
Avula R. Optimizing Data Quality in Electronic Medical Records?: Addressing Fragmentation , Inconsistencies , and Data Integrity Issues in Healthcare. 2019;1–25.
Chen, PS., Yu, CJ. & Chen GY. Applying Task-Technology Fit Model to the Healthcare Sector: a Case Study of Hospitals’ Computed Tomography Patient-Referral Mechanism. J Med Syst 39, 80. 2015;
Abouelmehdi K, Beni-Hessane A, Khaloufi H. Big healthcare data: preserving security and privacy. J Big Data [Internet]. 2018;5(1):1–18. Available from: https://doi.org/10.1186/s40537-017-0110-7
Gardiyawasam Pussewalage HS, Oleshchuk VA. Privacy preserving mechanisms for enforcing security and privacy requirements in E-health solutions. Int J Inf Manage [Internet]. 2016;36(6):1161–73. Available from: http://dx.doi.org/10.1016/j.ijinfomgt.2016.07.006
Ngafeeson M. Understanding User Resistance to Information Technology in Healthcare: The Nature and Role of Perceived Threats. Trans Int Conf Heal Inf Technol Adv [Internet]. 2015;3(1). Available from: https://scholarworks.wmich.edu/ichita_transactions/56
Alhur A. Overcoming Electronic Medical Records Adoption Challenges in Saudi Arabia. Cureus, 16(2), e53827. 2024;
Kumari R, Chander S. Improving healthcare quality by unifying the American electronic medical report system: time for change. Egypt Hear J [Internet]. 2024;76(1). Available from: https://doi.org/10.1186/s43044-024-00463-9
Dinh-Le C, Chuang R, Chokshi S MD. Wearable Health Technology and Electronic Health Record Integration. Scoping Rev Futur Dir JMIR Mhealth Uhealth 2019;7(9)e12861. 2019;
Hassan A, Almotairi M, Almutairi AN, Shamtan BZ, Sanhat S, Alotaibi S, et al. Europsychopharmacologia ungarica. 2023;
Carlos Ferreira, J., Elvas, L. B., Correia, R., & Mascarenhas M. Enhancing EHR Interoperability and Security through Distributed Ledger Technology: A Review. Heal 12(19) [Internet]. 2024; Available from: https://doi.org/10.3390/healthcare12191967
Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Med J. 2017;38(12):1173–80.
Jinying Xu WL. Developing a human-organization-technology fit model for information technology adoption in organizations. Technol Soc. 2022;Volume 70,.
Park SY, Chen Y, Rudkin S. Technological and organizational adaptation of EMR implementation in an Emergency Department. ACM Trans Comput Interact. 2015;22(1):1.
Al-Assaf K, Alzahmi W, Alshaikh R, Bahroun Z, Ahmed V. The Relative Importance of Key Factors for Integrating Enterprise Resource Planning (ERP) Systems and Performance Management Practices in the UAE Healthcare Sector. Big Data Cogn Comput. 2024;8(9).
Yusof MM. A case study evaluation of a Critical Care Information System adoption using the socio-technical and fit approach. Int J Med Inform [Internet]. 2015;84(7):486–99. Available from: http://dx.doi.org/10.1016/j.ijmedinf.2015.03.001
Reegu FA, Abas H, Gulzar Y, Xin Q, Alwan AA, Jabbari A, et al. Blockchain-Based Framework for Interoperable Electronic Health Records for an Improved Healthcare System. Sustain. 2023;15(8).
Bhati, D., Deogade, M. S., & Kanyal D. Improving Patient Outcomes Through Effective Hospital Administration: A Comprehensive Review. Cureus, 16(2), e53827. 2023;
Li E, Clarke J, Ashrafian H, Darzi A, Neves AL. The Impact of Electronic Health Record Interoperability on Safety and Quality of Care in High-Income Countries: Systematic Review. J Med Internet Res. 2022;24(9):1–15.
Janett RS, Yeracaris PP. Electronic medical records in the american health system: Challenges and lessons learned. Cienc e Saude Coletiva. 2020;25(4):1293–304.
Kim S, Lee K-H, Hwang H, Yoo S. Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital. BMC Med Inform Decis Mak [Internet]. 2015;16(1):1–12. Available from: http://dx.doi.org/10.1186/s12911-016-0249-8
Chen Y, Xie W, Gunter CA, Liebovitz D, Mehrotra S, Zhang H, et al. Inferring Clinical Workflow Efficiency via Electronic Medical Record Utilization. AMIA . Annu Symp proceedings AMIA Symp. 2015;2015:416–25.
Cucciniello M, Lapsley I, Nasi G, Pagliari C. Understanding key factors affecting electronic medical record implementation: A sociotechnical approach. BMC Health Serv Res [Internet]. 2015;15(1):1–19. Available from: http://dx.doi.org/10.1186/s12913-015-0928-7
Dyb K, Berntsen GR, Kvam L. Adopt, adapt, or abandon technology-supported person-centred care initiatives: healthcare providers’ beliefs matter. BMC Health Serv Res. 2021;21(1):1–13.
Lambooij MS, Koster F. How organizational escalation prevention potential affects success of implementation of innovations: Electronic medical records in hospitals. Implement Sci [Internet]. 2016;11(1):1–10. Available from: http://dx.doi.org/10.1186/s13012-016-0435-1
Listyawati FM. Evaluasi Sistem Rekam Medis Elektronik Rawat Inap di Rumah Sakit Bethesda Yogyakarta Menggunakan Metode HOT-Fit. 2023;
Rohman H, Istichanah VY, Kesehatan P, Setya Indonesia B. Analisis Simpus Rawat Jalan Dengan Penerapan Awal Rekam Medis Elektronik Menggunakan Human Organization Technology Fit Model. J Community Empower. 2021;1(3):122–31.
Nugrahaningtyas N, Putra DH, Fannya P, Sonia D. Implementasi Penggunaan Rekam Medis Elektronik Di Fasilitas Kesehatan Primer: Studi Kasus Di Puskesmas Kecamatan Grogol Petamburan. J Kesehat Tambusai. 2023;4(4):5891–6.
Ngugi PN, Were MC, Babic A. Users’ perception on factors contributing to electronic medical records systems use: a focus group discussion study in healthcare facilities setting in Kenya. BMC Med Inform Decis Mak [Internet]. 2021;21(1):1–14. Available from: https://doi.org/10.1186/s12911-021-01737-x
McCrorie C, Benn J, Johnson OA, Scantlebury A. Staff expectations for the implementation of an electronic health record system: A qualitative study using normalisation process theory. BMC Med Inform Decis Mak. 2019;19(1):1–14.
Tabner, J., Zhao, F., Pavel, N., Kincaid, K., Murphy C. Enough or Too Much in EMR Training and Education?. In: Kurosu, M. (eds) Human-Computer Interaction. User Interface Design, Development and Multimodality. HCI 2017. Lecture Notes in Computer Science. Springer. 2017;10271.
Tilahun B, Fritz F. Modeling antecedents of electronic medical record system implementation success in low-resource setting hospitals Healthcare Information Systems. BMC Med Inform Decis Mak [Internet]. 2015;15(1):1–9. Available from: http://dx.doi.org/10.1186/s12911-015-0192-0
Feibert DC, Jacobsen P. Factors impacting technology adoption in hospital bed logistics. Int J Logist Manag. 2019;30(1):195–230.
Shi Y, Amill-Rosario A, Rudin RS, Fischer SH, Shekelle P, Scanlon D DC. Health information technology for ambulatory care in health systems. Am J Manag Care. 2020;Jan;26(1):
Risling T, Martinez J, Young J T-FN. Defining Empowerment and Supporting Engagement Using Patient Views From the Citizen Health Information Portal: Qualitative Study. JMIR Med Inf. 2018;6(3):e43.
Haleem A, Javaid M, Pratap Singh R, Suman R. Medical 4.0 technologies for healthcare: Features, capabilities, and applications. Internet Things Cyber-Physical Syst [Internet]. 2022;2(February):12–30. Available from: https://doi.org/10.1016/j.iotcps.2022.04.001
Kohli, R., & Tan SS-L. Electronic Health Records: How Can IS Researchers Contribute to Transforming Healthcare? MIS Quarterly. 2016;40(3), 553.
Odendaal WA, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M DK. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2020;No.: CD011(3).
Patil S, Shankar H. Harnessing the Power of AI in the Modern Era. Int J Multidiscip Sci Arts Transform Healthc [Internet]. 2023;2(1):60–70. Available from: https://doi.org/10.47709/ijmdsa.vxix.xxxx
Nguyen, L., Wickramasinghe, N., Redley, B., Haddad, P., Muhammad, I. and Botti M. Exploring nurses’ reactions to electronic nursing documentation at the point of care", Information Technology & People. 2017;Vol. 30 No:809–31.
Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors Int [Internet]. 2021;2(July):100117. Available from: https://doi.org/10.1016/j.sintl.2021.100117
43. Rismawan, I. ., & Renaningtyas N. Analisis Efektifitas Penggunaan E-Medical Record Terhadap Waktu Tunggu Pasien Di Rumah Sakit. J Kesehat Tambusai. (5(1)).
Ross J, Stevenson F, Lau R, Murray E. Factors that influence the implementation of e-health: A systematic review of systematic reviews (an update). Implement Sci [Internet]. 2016;11(1):1–12. Available from: http://dx.doi.org/10.1186/s13012-016-0510-7
Yichuan Wang, LeeAnn Kung TAB. Big data analytics: Understanding Its Capabilities And Potential Benefits For Healthcare Organizations. Technol Forecast Soc Change. 2018;126(ISSN 0040-1625):3–13.
Karanika-Murray, M., Whysall, Z., Liu-Smith, Y.-L., Feltbower, C. and Challans-Rasool E. “Understanding organizational learning in a healthcare organization during sudden and disruptive change.” Int J Work Heal Manag. 2023;16(4):257–80.
Rubbio, I., Bruccoleri, M., Pietrosi, A. and Ragonese B. “Digital health technology enhances resilient behaviour: evidence from the ward.” Int J Oper Prod Manag. 2020;40(1):34–67.
Published
2025-06-17
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Original Articles
Copyright (c) 2025 Nida Faradisa Fauziyah, Asti Nurhayati, Miftakhul Ulum Mahfud
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